# Product Lead, AI Platform

**Company:** [Rippling](https://hotfix.jobs/companies/rippling)
**Location:** San Francisco, CA
**Role:** Product Management
**Experience:** 8+ years
**Skills:** Llm Systems, Rag Architectures, Prompt Engineering, Fine-Tuning, Model Benchmarking, Reinforcement Learning, Ai Platform, Model Selection, Evaluation Strategy, B2B SaaS, Product Management
**Posted:** 2026-07-30

> Own the AI Platform roadmap and frameworks that enable Rippling product teams to easily build and ship LLM-powered autonomous agents. Requires 8+ years PM experience including 2+ years with production LLM/conversational AI, deep technical fluency in LLM systems, and a track record building adopted platforms.

## Job Description

## What you will do
- Own the AI Platform roadmap, including the skills framework, routing, tool orchestration, and the reasoning loop that powers multi-step agent tasks.
- Make it trivially easy for any product team to ship AI capabilities — from read-only queries to write actions that stage payroll runs, grant system access, or reassign employees, all with proper permissions and approval flows.
- Drive model selection strategy across providers, deciding when to use which model, at what cost, for what quality bar.
- Define the evaluation and improvement strategy — how we measure agent quality at scale, catch regressions, and continuously improve with real usage data.
- Partner with 10+ product teams (HR, Payroll, IT, Benefits, Finance) to onboard their domains onto the platform and make self-serve adoption easy.
- Shape the long-term vision for autonomous, long-running agents that do meaningful work on behalf of customers beyond the chat interface.

## What you will need
- 8+ years in product management, with at least 2 years shipping LLM-powered or conversational AI products to production at scale.
- Deep technical fluency in LLM systems — can evaluate RAG architectures, prompt engineering approaches, fine-tuning tradeoffs, model benchmarking, and reinforcement learning strategies.
- Strong opinions on cost, latency, and quality tradeoffs in AI systems — you've managed the economics of inference at scale.
- B2B SaaS experience — you understand enterprise buyers, compliance requirements, and the gap between a demo and a product that ships to thousands of companies.
- Track record of building platforms or tooling that other teams actually adopt — you know how to design good abstractions and reduce onboarding friction.
- Bias towards action — you roll up your sleeves, write prompts, review eval results, debug traces.
- Strong alignment with Rippling's leadership principles, particularly "Push the limits of possible" and "Go and see".

If you don't necessarily meet all of these requirements, we still encourage you to apply. Skills transfer in unexpected ways, and diverse perspectives often lead to the most innovative solutions.

This role will receive a competitive salary + benefits + equity.

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